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- Tasks: Design and build advanced machine learning models to predict user behaviour.
- Company: Cutting-edge AI startup in London with a focus on innovation.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Why this job: Shape products and drive commercial impact in a fast-paced environment.
- Qualifications: 4-8+ years of data science experience and strong Python skills.
- Other info: Opportunity to work autonomously and influence client revenue strategies.
The predicted salary is between 60000 - 84000 £ per year.
A cutting-edge AI startup in London is seeking an experienced Data Scientist to shape their product and drive commercial impact. In this key role, you will design and build advanced machine learning models to predict user behavior and directly influence client revenue strategies.
Ideal candidates have:
- 4-8+ years of experience in data science
- Strong Python skills
- The ability to work autonomously in a fast-paced environment
The position offers a competitive salary package and meaningful equity in the company, along with a hybrid working model.
Lead Data Scientist - ML for Mobile Growth & Revenue (Hybrid) in City of London employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - ML for Mobile Growth & Revenue (Hybrid) in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the AI and data science space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Use GitHub or personal websites to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your past projects in detail. We recommend practicing common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Scientist - ML for Mobile Growth & Revenue (Hybrid) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially any work with machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you the perfect fit. We love seeing passion and personality, so let us get to know you a bit!
Showcase Your Python Skills: Since strong Python skills are a must-have for this position, make sure to mention specific projects or experiences where you’ve used Python effectively. We’re keen to see how you’ve applied your coding skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Data Idols
✨Know Your Models
Make sure you can discuss the machine learning models you've built in detail. Be prepared to explain your thought process, the challenges you faced, and how your models impacted user behaviour and revenue strategies.
✨Showcase Your Python Skills
Brush up on your Python skills before the interview. Be ready to demonstrate your coding abilities, perhaps through a live coding exercise or by discussing past projects where you used Python to solve complex data problems.
✨Understand the Business Impact
Research the company’s products and how they drive revenue. Be prepared to discuss how your work as a Data Scientist can directly influence their commercial strategies and contribute to their growth.
✨Prepare for Fast-Paced Questions
Since the role requires working autonomously in a fast-paced environment, expect questions that assess your problem-solving skills under pressure. Think of examples from your past experiences where you had to make quick decisions or adapt to changing circumstances.